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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 3-RES-JB
    11. 3254
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    Explanations

    words related to extreme suffering and food deprivation

    oai_token-act-pair · gpt-3.5-turbo

    terms related to starvation and famine

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    allic
    -0.72
    osite
    -0.72
    Sphere
    -0.72
    DCS
    -0.70
    atre
    -0.70
    20439
    -0.70
    ree
    -0.69
    aters
    -0.68
    inion
    -0.68
    videos
    -0.67
    POSITIVE LOGITS
     starve
    1.17
     famine
    1.12
     starving
    1.04
     starvation
    1.02
     starved
    0.89
     labou
    0.89
     laborers
    0.82
     malnutrition
    0.77
     miser
    0.73
     ration
    0.73
    Activations Density 0.025%

    No Known Activations